awesome-mojo
Awesome Mojoš„
https://github.com/ego/awesome-mojo
Last synced: 3 days ago
JSON representation
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Why is it called Mojo?
- Simple and fast HTTP framework for Mojo! š„ Perfect for building web services and simple APIs. For Mojicians
- LLama implementations benchmarking framework
- Automated Python to Mojo code translation
- Mojo word definition
- Rust in the Linux kernel
- Switching from Python to Mojo programming language | Chris Lattner and Lex Fridman
- GitHub Topic mojo-lang
- Mojoš„ is now available on Mac!
- Chris Lattner: Future of Programming and AI | Lex Fridman Podcast #381
- Mojo and Python type system explained | Chris Lattner and Lex Fridman
- Can Mojo run Python code? | Chris Lattner and Lex Fridman
- Guido van Rossum about Mojo = Python with C++/GPU performance?
- Tensor struct with some basic ops #251
- Matrix fn with numpy #267
- Closures and higer order functions in mojo #244
- Discussions
- Issues
- benevolent dictator for life - known leader](https://en.wikipedia.org/wiki/Chris_Lattner) about Mojoš„pronunciation =)
- Waiting for a Mojoš„ syntax highlighting at GitHub
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Tools
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Python / C++
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Mojoš„FastAPI Client
- Ray
- Autograd
- Numpy
- Numba
- PyPy
- Taichi compared to cub cupy numba
- Codon benchmarks
- Mypyc
- Accelerating experimentation with mlops
- nebuly-ai
- Numba compiler for Python bytecode, Numba IR into LLVM IR, Compile LLVM IR to machine code
- Google JAX
- Codon benchmarks
- XLA
- Taichi Lang
- Codon
- CuPy
- Cython
- Pythran
- Nuitka
- Benchmarks for CPU and GPU performance high-performance Python libs
- DeepSpeed
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Python hints
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Mojoš„FastAPI Client
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Modular and Mojoš„ history and etymology
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Mojoš„FastAPI Client
- The Golden Age of Compiler Design in an Era of HW/SW Co-design by Dr. Chris Lattner
- LLVM in 100 Seconds
- Modularity
- Modular Inc - mojo#why-is-it-called-mojo).
- Company
- Modular arithmetic
- Modulo
- The Golden Age of Compiler Design in an Era of HW/SW Co-design by Dr. Chris Lattner
- LLVM in 100 Seconds
- Mojo Dojo
- Mojo Cheatsheet
- History of programming languages
- Counting chars with SIMD in Mojo
- "In other words: Mojo isnāt magic, itās modular."
- "In other words: Mojo isnāt magic, itās modular."
- Cross Compile Compiler-rt
- The future of AI depends on Modularity
- The Architecture of Open Source Applications LLVM
- Modular programming
- Modular's Brand Story
- Helping Modular Humanize AI Through Brand
- Chris Lattner
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MLIR and low-level implementation
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Mojoš„FastAPI Client
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Major things to improve:
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Mojoš„FastAPI Client
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Code share from Mojo Playground
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Mojoš„FastAPI Client
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Summary Mandelbrot Set
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[Codon Mandelbrot Set](benchmarks/multibrot_set/multibrot.codon)
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[Bonus V Breadth First Search Path](algorithm/bfs_V.v)
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[Codon Mandelbrot Set](benchmarks/multibrot_set/multibrot.codon)
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[Mojoš„Fizz buzz](algorithm/fizz_buzz_Mojo.mojo)
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[Codon Mandelbrot Set](benchmarks/multibrot_set/multibrot.codon)
- Merge sort
- reference - to-algorithms/)
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Parameterization[]: compile time meta-programming
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Data Type Model and alias
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[Codon Mandelbrot Set](benchmarks/multibrot_set/multibrot.codon)
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String
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String and builtin slice
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DTypePointer, Heap and Stack
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Decorators combination
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Pointer
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Advanced Mojoš„features and Intrinsics module
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Decorators combination
- this one
- MLIR Dialects - > execution backends with optimization code and architectures.
- MLIR
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Syscalls
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MLIR libc gethostname
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Syscalls
- gethostname
- external_call - access-to-mlir).
- Builtin Slice
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Mojoš„TCP Socket Server with PythonInterface
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Radiative transfer
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Mojoš„FastAPI Client
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Instant and DateTimeLocal
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Mojoš„FastAPI Client
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IDEA
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Mojoš„FastAPI Client
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AI
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Mojoš„FastAPI Client
- CUDA
- Accelerated Computing
- MLIR: accelerating AI with open-source infrastructure
- OpenaAI Triton language and compiler
- ONNX open standard for machine learning
- ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
- OpenCL
- SYCL
- Google Brain TensorFlow
- PyTorch
- TensorRT
- Vertex AI
- Google TPU
- Sagemaker
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Mojoš„FastAPI with PythonInterface
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Mojoš„FastAPI Client
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[Mojoš„ Merge sort](algorithm/MergeSort_Mojo.mojo)
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[Codon Mandelbrot Set](benchmarks/multibrot_set/multibrot.codon)
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Python Interface and reading files
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Mojoš„FastAPI Client
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`VariadicList` for destructuring/unpacking/accessing arguments
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[Codon Mandelbrot Set](benchmarks/multibrot_set/multibrot.codon)
- def - manual.html#fn-definitions)
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Categories
Python / C++
22
Modular and Mojoš„ history and etymology
22
Why is it called Mojo?
19
AI
14
Summary Mandelbrot Set
7
Data Type Model and alias
7
MLIR and low-level implementation
5
Advanced Mojoš„features and Intrinsics module
4
[Bonus V Breadth First Search Path](algorithm/bfs_V.v)
4
[Mojoš„ Merge sort](algorithm/MergeSort_Mojo.mojo)
4
Mojoš„TCP Socket Server with PythonInterface
3
MLIR libc gethostname
3
Python hints
3
Mojoš„FastAPI with PythonInterface
3
Parameterization[]: compile time meta-programming
2
Code share from Mojo Playground
2
[Mojoš„Fizz buzz](algorithm/fizz_buzz_Mojo.mojo)
2
Pointer
2
Tools
2
Instant and DateTimeLocal
1
Major things to improve:
1
`VariadicList` for destructuring/unpacking/accessing arguments
1
IDEA
1
Python Interface and reading files
1
String
1
DTypePointer, Heap and Stack
1
Radiative transfer
1
Sub Categories
Keywords
python
8
deep-learning
7
machine-learning
6
pytorch
5
gpu
5
tensorflow
5
neural-network
3
performance
2
distributed
2
tensor
2
deep-neural-networks
2
ml
2
onnx
2
scikit-learn
2
compiler
2
cupy
2
benchmark
2
gpu-programming
2
inference
2
command-line
2
numpy
2
rllib
1
reinforcement-learning
1
ray
1
differentiable-programming
1
computer-graphics
1
sparse-computation
1
serving
1
taichi
1
parallel
1
optimization
1
model-selection
1
high-performance
1
llvm
1
api
1
client
1
http
1
mojo
1
server
1
web
1
llama2
1
cli
1
rust
1
terminal
1
tool
1
cross-platform
1
fetch
1
system-information
1
automl
1
data-science
1