Deep learning
Deep learning is a subset of machine learning that uses artificial neural networks with multiple layers to automatically learn hierarchical representations from data. It powers modern breakthroughs in computer vision, natural language processing, speech recognition, and generative AI.
- GitHub: https://github.com/topics/deep-learning
- Wikipedia: https://en.wikipedia.org/wiki/Deep_learning
- Aliases: deeplearning, deep-learning-tutorial, deep-learning-algorithms, deep-learning-papers,
- Last updated: 2026-06-22 00:07:55 UTC
- JSON Representation
https://github.com/trusted-ai/aif360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
ai artificial-intelligence bias bias-correction bias-detection bias-finder bias-reduction codait deep-learning discrimination fairness fairness-ai fairness-awareness-model fairness-testing ibm-research ibm-research-ai machine-learning python r trusted-ai
Last synced: 07 Apr 2026
https://github.com/naiveHobo/InvoiceNet
Deep neural network to extract intelligent information from invoice documents.
billing classification deep-learning deep-neural-networks deeplearning information-extraction information-retrieval invoice invoice-insight invoice-management invoice-parser invoice-pdf invoice-software invoices keras keras-neural-networks keras-tensorflow
Last synced: 28 Mar 2025
https://github.com/KupynOrest/DeblurGAN
Image Deblurring using Generative Adversarial Networks
blurry-images computer-vision convolutional-networks convolutional-neural-networks deblurring deep-learning gan image-manipulation image-processing image-to-image-translation neural-network paper pix2pix pytorch
Last synced: 28 Mar 2025
https://github.com/lucidrains/big-sleep
A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun
artificial-intelligence deep-learning generative-adversarial-networks multimodality text-to-image
Last synced: 14 May 2025
https://github.com/thunlp/ultrachat
Large-scale, Informative, and Diverse Multi-round Chat Data (and Models)
chatbot chatgpt deep-learning large-language-models
Last synced: 15 May 2025
https://github.com/torch-points3d/torch-points3d
Pytorch framework for doing deep learning on point clouds.
deep-learning kpconv minkowskiengine point-cloud pointnet pytorch s3dis scannet segmentation
Last synced: 14 May 2025
https://github.com/tirthajyoti/papers-literature-ml-dl-rl-ai
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
artificial-intelligence data-mining data-science deep-learning game-theory hardware learning-theory literature machine-learning machine-learning-algorithms neural-network paper pattern-recognition reinforcement-learning silicon statistical-learning statistics
Last synced: 24 Oct 2025
https://github.com/knazeri/edge-connect
EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212
canny-edge-detection deep-learning edgeconnect gans generative-adversarial-network image-inpainting pytorch
Last synced: 15 May 2025
https://github.com/ModelTC/lightllm
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
deep-learning gpt llama llm model-serving nlp openai-triton
Last synced: 20 Mar 2025
https://github.com/dmlc/gluon-nlp
NLP made easy
deep-learning gluon gluonnlp machine-learning mxnet natural-language-generation natural-language-inference natural-language-processing natural-language-understanding nlg nlp nlu numpy
Last synced: 27 Sep 2025
https://github.com/girafe-ai/ml-course
Open Machine Learning course
computer-vision course deep-learning machine-learning materials natural-language-processing python pytorch reinforcement-learning seminars
Last synced: 13 May 2025
https://github.com/qingsongedu/time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
anomalydetection awesome classification deep-learning forecasting machine-learning review survey time-series time-series-forecasting timeseries timeseries-analysis transformer transformers
Last synced: 29 Sep 2025
https://github.com/rom1504/clip-retrieval
Easily compute clip embeddings and build a clip retrieval system with them
ai clip deep-learning knn multimodal semantic-search
Last synced: 14 May 2025
https://github.com/isl-org/zoedepth
Metric depth estimation from a single image
adaptive-bins deep-learning depth-estimation metric-depth-estimation monocular-depth-estimation neural-networks pretrained-models transformers zero-shot-transfer
Last synced: 14 Apr 2025
https://github.com/jolibrain/deepdetect
Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
caffe deep-learning gpu image-classification image-search image-segmentation machine-learning ncnn neural-nets object-detection pytorch rest-api tensorrt tensorrt-conversion tensorrt-inference time-series tsne xgboost
Last synced: 14 May 2025
https://github.com/lucidrains/audiolm-pytorch
Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
artificial-intelligence attention-mechanisms audio-synthesis deep-learning transformers
Last synced: 13 May 2025
https://github.com/harleyszhang/cv_note
记录cv算法工程师的成长之路,分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/
computer-vision cpp11 deep-learning interview-questions machine-learning-algorithms python3
Last synced: 14 May 2025
https://github.com/gordicaleksa/pytorch-gat
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
attention attention-mechanism deep-learning gat gat-tutorial graph-attention-network graph-attention-networks jupyter python pytorch pytorch-gat pytorch-implementation self-attention
Last synced: 15 May 2025
https://github.com/tirthajyoti/Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
artificial-intelligence data-mining data-science deep-learning game-theory hardware learning-theory literature machine-learning machine-learning-algorithms neural-network paper pattern-recognition reinforcement-learning silicon statistical-learning statistics
Last synced: 27 Mar 2025
https://github.com/wzhe06/SparrowRecSys
A Deep Learning Recommender System
deep-learning machine-learning recommender-system
Last synced: 27 Apr 2025
https://github.com/GeorgeSeif/Semantic-Segmentation-Suite
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
computer-vision dataset deep-learning densenet encoder-decoder epoch iou python refinenet segmentation semantic-segmentation semantic-segmentation-models tensorflow upsampling
Last synced: 28 Mar 2025
https://github.com/zzh8829/yolov3-tf2
YoloV3 Implemented in Tensorflow 2.0
deep-learning machine-learning neural-network object-detection tensorflow tensorflow-examples tensorflow-tutorials tf2 yolo yolov3
Last synced: 14 May 2025
https://github.com/georgeseif/semantic-segmentation-suite
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
computer-vision dataset deep-learning densenet encoder-decoder epoch iou python refinenet segmentation semantic-segmentation semantic-segmentation-models tensorflow upsampling
Last synced: 27 Sep 2025
https://github.com/aleju/papers
Summaries of machine learning papers
computer-vision deep-learning deep-reinforcement-learning gan machine-learning nlp paper summary
Last synced: 23 Mar 2025
https://github.com/wzhe06/sparrowrecsys
A Deep Learning Recommender System
deep-learning machine-learning recommender-system
Last synced: 11 Apr 2025
https://github.com/ddz16/TSFpaper
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
deep-learning deep-neural-networks paper-lists rnn spatial-temporal-forecasting spatio-temporal spatio-temporal-data spatio-temporal-prediction tcn time-series time-series-analysis time-series-forecasting time-series-models time-series-prediction transformer
Last synced: 01 May 2025
https://github.com/idea-research/dino
[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
computer-vision deep-learning object-detection
Last synced: 15 May 2025
https://github.com/young-geng/easylm
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
chatbot deep-learning flax jax language-model large-language-models llama natural-language-processing transformer
Last synced: 15 May 2025
https://github.com/letianzj/quantresearch
Quantitative analysis, strategies and backtests
algorithmic-trading algotrading asset-allocation asset-management backtesting-trading-strategies backtests data-science deep-learning derivatives-pricing financial-analysis machine-learning pairs-trading portfolio-management quantitative-finance quantitative-trading reinforcement-learning risk-management statistical-arbitrage trading-algorithms trading-strategies
Last synced: 14 Apr 2025
https://github.com/meta-pytorch/torchrec
Pytorch domain library for recommendation systems
cuda deep-learning gpu pytorch recommendation-system recommender-system sharding
Last synced: 15 Feb 2026
https://github.com/NVIDIA/MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
3d-convolutional-network 3d-vision 4d-convolutional-neural-network auto-differentiation computer-vision convolutional-neural-networks cuda deep-learning high-dimensional-data high-dimensional-inference minkowski-engine neural-network pytorch semantic-segmentation space-time sparse-convolution sparse-tensor-network sparse-tensors spatio-temporal-analysis trilateral-filter
Last synced: 20 Mar 2025
https://github.com/letianzj/QuantResearch
Quantitative analysis, strategies and backtests
algorithmic-trading algotrading asset-allocation asset-management backtesting-trading-strategies backtests data-science deep-learning derivatives-pricing financial-analysis machine-learning pairs-trading portfolio-management quantitative-finance quantitative-trading reinforcement-learning risk-management statistical-arbitrage trading-algorithms trading-strategies
Last synced: 30 Mar 2025
https://github.com/abhineet123/deep-learning-for-tracking-and-detection
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
code-collection deep-learning detection object-detection optical-flow paper-collection papers segmentation tracking tracking-by-detection
Last synced: 25 Mar 2025
https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
code-collection deep-learning detection object-detection optical-flow paper-collection papers segmentation tracking tracking-by-detection
Last synced: 20 Mar 2025
https://github.com/gordicaleksa/pytorch-GAT
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
attention attention-mechanism deep-learning gat gat-tutorial graph-attention-network graph-attention-networks jupyter python pytorch pytorch-gat pytorch-implementation self-attention
Last synced: 01 May 2025
https://github.com/automl/auto-pytorch
Automatic architecture search and hyperparameter optimization for PyTorch
automl deep-learning pytorch tabular-data
Last synced: 14 May 2025
https://github.com/Trusted-AI/AIF360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
ai artificial-intelligence bias bias-correction bias-detection bias-finder bias-reduction codait deep-learning discrimination fairness fairness-ai fairness-awareness-model fairness-testing ibm-research ibm-research-ai machine-learning python r trusted-ai
Last synced: 27 Mar 2025
https://github.com/automl/Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
automl deep-learning pytorch tabular-data
Last synced: 01 Apr 2025
https://github.com/voxelmorph/voxelmorph
Unsupervised Learning for Image Registration
deep-learning diffeomorphism image-alignment image-registration machine-learning optical-flow probabilistic unsupervised-learning
Last synced: 13 May 2025
https://github.com/young-geng/EasyLM
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
chatbot deep-learning flax jax language-model large-language-models llama natural-language-processing transformer
Last synced: 14 Mar 2025
https://github.com/wenbihan/reproducible-image-denoising-state-of-the-art
Collection of popular and reproducible image denoising works.
art arxiv benchmarking cnn curated-list deep-learning denoising-algorithms image-denoising image-processing image-reconstruction image-restoration implementation inverse-problems noise noise-reduction performance-analysis recovery-image reproducible-research state-of-the-art summary
Last synced: 25 Feb 2026
https://github.com/coqui-ai/stt
🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
asr automatic-speech-recognition deep-learning speech-recognition speech-recognition-api speech-recognizer speech-to-text stt tensorflow voice-recognition
Last synced: 14 May 2025
https://github.com/jayinai/data-science-question-answer
A repo for data science related questions and answers
data-science deep-learning machine-learning reinforcement-learning sql statistics system
Last synced: 15 May 2025
https://github.com/PennyLaneAI/pennylane
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
autograd automatic-differentiation cirq deep-learning differentiable-computing hacktoberfest jax machine-learning neural-network optimization python pytorch qiskit qml quantum quantum-chemistry quantum-computing quantum-machine-learning strawberryfields tensorflow
Last synced: 26 Mar 2025
https://github.com/curiousily/getting-things-done-with-pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
anomaly-detection bert computer-vision coronavirus deep-learning face-detection face-recognition lstm machine-learning nlp object-detection pytorch sentiment-analysis time-series time-series-anomaly-detection time-series-forecasting transfer-learning transformer tutorial yolo
Last synced: 15 May 2025
https://github.com/onnx/tensorflow-onnx
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
convert deep-learning export keras onnx tensorflow tensorflowjs tflite
Last synced: 20 Feb 2026
https://github.com/curiousily/Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
anomaly-detection bert computer-vision coronavirus deep-learning face-detection face-recognition lstm machine-learning nlp object-detection pytorch sentiment-analysis time-series time-series-anomaly-detection time-series-forecasting transfer-learning transformer tutorial yolo
Last synced: 06 Apr 2025
https://github.com/tryolabs/luminoth
Deep Learning toolkit for Computer Vision.
computer-vision deep-learning faster-rcnn machine-learning object-detection python sonnet tensorflow toolkit
Last synced: 14 May 2025
https://rom1504.github.io/clip-retrieval/?back=https%3A%2F%2Fknn5.laion.ai&index=laion5B&useMclip=false
Easily compute clip embeddings and build a clip retrieval system with them
ai clip deep-learning knn multimodal semantic-search
Last synced: 08 May 2025
https://github.com/djdefrag/qualityscaler
QualityScaler - image/video AI upscaler app
amd anime compression-artifact-reduction deep-learning directx-12 gui-application intel manga noise-reduction nvidia onnx onnxruntime opencv python python3 pytorch super-resolution video video-processing windows
Last synced: 14 May 2025
https://github.com/nvidia/transformerengine
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.
cuda deep-learning fp8 gpu jax machine-learning python pytorch
Last synced: 24 Feb 2026
https://github.com/sthalles/simclr
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
contrastive-loss deep-learning machine-learning pytorch pytorch-implementation representation-learning simclr torchvision unsupervised-learning
Last synced: 15 May 2025
https://github.com/asyml/texar
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
bert casl-project data-processing deep-learning dialog-systems gpt-2 machine-learning machine-translation natural-language-processing python tensorflow texar text-data text-generation xlnet
Last synced: 14 May 2025
https://github.com/opennmt/opennmt
Open Source Neural Machine Translation in Torch (deprecated)
deep-learning lua machine-translation neural-machine-translation opennmt torch
Last synced: 03 Oct 2025
https://github.com/OpenNMT/OpenNMT
Open Source Neural Machine Translation in Torch (deprecated)
deep-learning lua machine-translation neural-machine-translation opennmt torch
Last synced: 09 Apr 2025
https://github.com/xuebinqin/dis
This is the repo for our new project Highly Accurate Dichotomous Image Segmentation
background-removal computer-vision deep-learning dichotomous-image-segmentation u-2-net
Last synced: 15 May 2025
https://github.com/mravanelli/pytorch-kaldi
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
asr deep-learning deep-neural-networks dnn dnn-hmm gru kaldi lstm lstm-neural-networks multilayer-perceptron-network pytorch recurrent-neural-networks rnn rnn-model speech speech-recognition timit
Last synced: 15 May 2025
https://github.com/aws-samples/aws-machine-learning-university-accelerated-nlp
Machine Learning University: Accelerated Natural Language Processing Class
deep-learning gluon machine-learning mxnet natural-language-processing python sklearn
Last synced: 14 May 2025
https://github.com/enpeizhao/cvprojects
computer vision projects | 计算机视觉相关好玩的AI项目(Python、C++、embedded system)
computer-vision cpp cuda deep-learning embedded-systems machine-learning python tensorrt
Last synced: 14 May 2025
https://github.com/danielegrattarola/spektral
Graph Neural Networks with Keras and Tensorflow 2.
deep-learning graph-deep-learning graph-neural-networks keras python tensorflow tensorflow2
Last synced: 14 May 2025
https://github.com/leggedrobotics/darknet_ros
YOLO ROS: Real-Time Object Detection for ROS
computer-vision darknet darknet-ros deep-learning human-detection object-detection ros yolo
Last synced: 04 Oct 2025
https://github.com/coqui-ai/STT
🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
asr automatic-speech-recognition deep-learning speech-recognition speech-recognition-api speech-recognizer speech-to-text stt tensorflow voice-recognition
Last synced: 15 Mar 2025
https://github.com/ogkalu2/comic-translate
Desktop app for automatically translating comics - BDs, Manga, Manhwa, Fumetti and more in a variety of formats (Image, Pdf, Epub, cbr, cbz, etc) and in multiple languages.
anime comics computer-vision deep-learning gui inpainting machine-translation manga manhua manhwa neural-network ocr pyside6 python pytorch segmentation text-detection text-segmentation translation webtoons
Last synced: 06 Feb 2026
https://github.com/linto-ai/whisper-timestamped
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
asr attention-is-all-you-need attention-mechanism attention-model attention-network attention-seq2seq attention-visualization deep-learning machine-learning multilingual-models python python3 pytorch speaker-diarization speech speech-processing speech-recognition speech-to-text transformers whisper
Last synced: 13 May 2025
https://github.com/mdeff/fma
FMA: A Dataset For Music Analysis
dataset deep-learning music-analysis music-information-retrieval open-data open-science reproducible-research
Last synced: 15 May 2025
https://github.com/asteroid-team/asteroid
The PyTorch-based audio source separation toolkit for researchers
audio-separation deep-learning pretrained-models pytorch source-separation speech-enhancement speech-separation
Last synced: 12 May 2025
https://krzjoa.github.io/awesome-python-data-science/
Probably the best curated list of data science software in Python.
awesome awesome-list awesome-python data-analysis data-science data-visualization deep-learning machine-learning python scikit-learn statistics
Last synced: 17 Oct 2025
https://github.com/pytorch/TensorRT
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
cuda deep-learning jetson libtorch machine-learning nvidia pytorch tensorrt
Last synced: 09 Apr 2025
https://github.com/microsoft/autonomousdrivingcookbook
Scenarios, tutorials and demos for Autonomous Driving
airsim autonomous-driving autonomous-driving-cookbook autonomous-vehicles car cntk deep-learning keras microsoft microsoft-garage robotics self-driving-car simulation tensorflow tutorial
Last synced: 15 May 2025
https://github.com/google-research/electra
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
Last synced: 15 May 2025
https://github.com/deeplearningturkiye/turkce-yapay-zeka-kaynaklari
Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.
caffe convolutional-neural-networks deep-learning derin-ogrenme dogal-dil-isleme keras machine-learning makine-ogrenmesi natural-language-processing pytorch tensorflow yapay-zeka
Last synced: 15 May 2025
https://github.com/hitsz-ids/synthetic-data-generator
SDG is a specialized framework designed to generate high-quality structured tabular data.
agent data-generator deep-learning gan generative-ai llm machine-learning privacy synthetic-data tabular-data
Last synced: 13 May 2025
https://github.com/salesforce/decaNLP
The Natural Language Decathlon: A Multitask Challenge for NLP
deep-learning multitask-learning natural-language-processing
Last synced: 09 May 2025
https://github.com/salesforce/decanlp
The Natural Language Decathlon: A Multitask Challenge for NLP
deep-learning multitask-learning natural-language-processing
Last synced: 14 Apr 2025
https://github.com/microsoft/AutonomousDrivingCookbook
Scenarios, tutorials and demos for Autonomous Driving
airsim autonomous-driving autonomous-driving-cookbook autonomous-vehicles car cntk deep-learning keras microsoft microsoft-garage robotics self-driving-car simulation tensorflow tutorial
Last synced: 13 Mar 2025
https://github.com/patrick-kidger/equinox
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
deep-learning equinox jax neural-networks
Last synced: 25 Jan 2026
https://github.com/lgsvl/simulator
A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
3d airsim api artificial-intelligence autonomous autoware baidu carla computer-vision csharp deep-learning game-engine machine-learning reinforcement-learning ros self-driving-car simulator tensorflow unity unreal-engine
Last synced: 15 May 2025
https://github.com/sdv-dev/SDV
Synthetic data generation for tabular data
data-generation deep-learning gan gans generative-adversarial-network generative-ai generative-model generativeai machine-learning multi-table relational-datasets sdv synthetic-data synthetic-data-generation time-series
Last synced: 26 Mar 2025
https://github.com/isl-org/ZoeDepth
Metric depth estimation from a single image
adaptive-bins deep-learning depth-estimation metric-depth-estimation monocular-depth-estimation neural-networks pretrained-models transformers zero-shot-transfer
Last synced: 05 May 2025
https://github.com/MaybeShewill-CV/lanenet-lane-detection
Unofficial implemention of lanenet model for real time lane detection
deep-learning instance-segmentation lane-detection lane-finding lane-lines-detection lanenet self-driving-car tensorflow
Last synced: 20 Mar 2025
https://github.com/dipanjans/practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
classification clustering computer-vision convolutional-neural-networks deep-learning jupyter jupyter-notebook keras machine-learning natural-language-processing nltk notebook pandas prophet python scikit-learn spacy statsmodels tensorflow time-series-analysis
Last synced: 14 May 2025
https://github.com/virginiakm1988/ml2022-spring
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring
deep-learning machine-learning
Last synced: 15 May 2025
https://github.com/google/tangent
Source-to-Source Debuggable Derivatives in Pure Python
autodiff automatic-differentiation deep-learning machine-learning
Last synced: 29 Sep 2025
https://github.com/creatcodebuild/tensorflow-and-deeplearning-tutorial
A TensorFlow & Deep Learning online course I taught in 2016
deep-learning deep-learning-tutorial tensorboard tensorflow
Last synced: 15 May 2025
https://github.com/CreatCodeBuild/TensorFlow-and-DeepLearning-Tutorial
A TensorFlow & Deep Learning online course I taught in 2016
deep-learning deep-learning-tutorial tensorboard tensorflow
Last synced: 15 Apr 2025
https://github.com/microsoft/Graphormer
Graphormer is a general-purpose deep learning backbone for molecular modeling.
ai4science deep-learning graph molecule-simulation transformer
Last synced: 15 Jul 2025
https://github.com/hypox64/deepmosaics
Automatically remove the mosaics in images and videos, or add mosaics to them.
computer-vision deep-learning mosaic pytorch video-inpainting
Last synced: 15 May 2025
https://github.com/IntelLabs/coach
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
carla coach deep-learning distributed-reinforcement-learning hierarchical-reinforcement-learning imitation-learning mujoco mxnet onnx openai-gym reinforcement-learning rl roboschool starcraft starcraft2 starcraft2-ai tensorflow
Last synced: 28 Mar 2025
https://github.com/intellabs/coach
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
carla coach deep-learning distributed-reinforcement-learning hierarchical-reinforcement-learning imitation-learning mujoco mxnet onnx openai-gym reinforcement-learning rl roboschool starcraft starcraft2 starcraft2-ai tensorflow
Last synced: 01 Oct 2025
https://github.com/gluon-api/gluon-api
A clear, concise, simple yet powerful and efficient API for deep learning.
deep-learning deep-learning-framework deep-learning-tutorial gluon imperative-programming neural-network neural-networks
Last synced: 15 May 2025
https://github.com/dvmazur/mixtral-offloading
Run Mixtral-8x7B models in Colab or consumer desktops
colab-notebook deep-learning google-colab language-model llm mixture-of-experts offloading pytorch quantization
Last synced: 15 May 2025
https://github.com/extreme-assistant/iccv2023-paper-code-interpretation
ICCV2021/2019/2017 论文/代码/解读/直播合集,极市团队整理
action-recognition computer-vision deep-learning iccv2017 iccv2019 iccv2021 image-classification image-recognition image-segmentation machine-learning object-detection
Last synced: 27 Jan 2026
https://github.com/unslothai/hyperlearn
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
data-analysis data-science deep-learning econometrics gpu machine-learning neural-network optimization python pytorch regression-models research scikit-learn statistics statsmodels tensor
Last synced: 04 Oct 2025
https://github.com/honlan/deepinterests
深度有趣
artificial-intelligence computer-vision deep-learning keras mit-license natural-language-processing python tensorflow
Last synced: 15 May 2025
https://github.com/Honlan/DeepInterests
深度有趣
artificial-intelligence computer-vision deep-learning keras mit-license natural-language-processing python tensorflow
Last synced: 25 Mar 2025
https://github.com/megvii-research/ICCV2019-LearningToPaint
ICCV2019 - Learning to Paint With Model-based Deep Reinforcement Learning
computer-vision deep-learning painting pytorch reinforcement-learning
Last synced: 17 Aug 2025
https://github.com/quic/aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
auto-ml compression deep-learning deep-neural-networks machine-learning network-compression network-quantization open-source opensource pruning quantization
Last synced: 02 Apr 2026
https://github.com/facebookresearch/habitat-lab
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
ai computer-vision deep-learning deep-reinforcement-learning python reinforcement-learning research robotics sim2real simulator
Last synced: 07 May 2026
https://github.com/hzwer/ICCV2019-LearningToPaint
ICCV2019 - Learning to Paint With Model-based Deep Reinforcement Learning
computer-vision deep-learning painting pytorch reinforcement-learning
Last synced: 16 Jul 2025
https://github.com/google-research-datasets/objectron
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
3d 3d-reconstruction 3d-vision ai augmented-reality computer-vision dataset deep-learning machine-learning neural-network python pytorch tensorflow
Last synced: 05 Oct 2025