Highlights
- All languages
- ATS
- Arduino
- Assembly
- Batchfile
- Blade
- C
- C#
- C++
- CLIPS
- CMake
- CSS
- Circom
- Clojure
- CoffeeScript
- Common Lisp
- Cuda
- Dart
- Dockerfile
- Elixir
- Emacs Lisp
- FreeMarker
- GLSL
- Gnuplot
- Go
- Groovy
- HTML
- Hack
- Haskell
- Inform 7
- Inno Setup
- Java
- JavaScript
- Jsonnet
- Julia
- Jupyter Notebook
- Kotlin
- Lean
- Less
- Lua
- MATLAB
- MDX
- Makefile
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- Metal
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- Objective-C
- Objective-C++
- OpenEdge ABL
- PHP
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- Prolog
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- Python
- R
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- Rich Text Format
- Roff
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- Solidity
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- SystemVerilog
- TeX
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- Vala
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- Vue
Starred repositories
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Google Research
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
A simple screen parsing tool towards pure vision based GUI agent
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Data and code behind the articles and graphics at FiveThirtyEight
📡 Simple and ready-to-use tutorials for TensorFlow
llama3 implementation one matrix multiplication at a time
This repository contains the source code for the paper First Order Motion Model for Image Animation
Code release for NeRF (Neural Radiance Fields)
Public facing notes page
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Official inference library for Mistral models
Build your neural network easy and fast, 莫烦Python中文教学
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Visualizations for machine learning datasets
The "Python Machine Learning (2nd edition)" book code repository and info resource
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
An annotated implementation of the Transformer paper.
An adversarial example library for constructing attacks, building defenses, and benchmarking both
A course in reinforcement learning in the wild
The Udacity open source self-driving car project