A list of all named GANs!
- machine-learning
- gan
- generative-adversarial-network
47,133 repositories indexed
73–96 of 453 · Most stars
A list of all named GANs!
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
A very simple framework for state-of-the-art Natural Language Processing (NLP)
TranslatedTransfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-Transfer learning
The most powerful local music generation model that outperforms almost all commercial alternatives, supporting Mac, AMD, Intel, and CUDA devices.
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
Convert Machine Learning Code Between Frameworks
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Open Machine Learning Compiler Framework
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Transparent proxy server that works as a poor man's VPN. Forwards over ssh. Doesn't require admin. Works with Linux and MacOS. Supports DNS tunneling.
A modern and customizable python UI-library based on Tkinter
TranslatedMachine learning tutorials
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
A MNIST-like fashion product database. Benchmark :point_down:
🐍 Geometric Computer Vision Library for Spatial AI
A collaboration friendly studio for NeRFs
Switch games running natively on iPhone, iPad and Mac: an NSP folder becomes an unsigned IPA (NSO rewriter, Horizon HLE host, NVN→Metal)
Low-code framework for building custom LLMs, neural networks, and other AI models
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
TranslatedHand-written implementations of all the algorithms in Li Hang's book "Statistical Learning Methods" (《统计学习方法》)
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
Minimal and clean examples of machine learning algorithms implementations