jihun-yoon
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Tensors and Dynamic neural networks in Python with strong GPU acceleration
Models and examples built with TensorFlow
Investment Research for Everyone, Everywhere.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A toolkit for developing and comparing reinforcement learning algorithms.
A JavaScript / TypeScript / Python / C# / PHP / Go cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
OpenMMLab Detection Toolbox and Benchmark
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Zipline, a Pythonic Algorithmic Trading Library
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…
Datasets, Transforms and Models specific to Computer Vision
Code samples for my book "Neural Networks and Deep Learning"
Python Backtesting library for trading strategies
Download market data from Yahoo! Finance's API
Jupyter metapackage for installation, docs and chat
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Python Implementation of Reinforcement Learning: An Introduction
Machine Learning Engineering Open Book
Static site generator that supports Markdown and reST syntax. Powered by Python.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐