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Starred repositories
Use unsupervised and supervised learning to predict stocks
Source code for Twitter's Recommendation Algorithm
⚡️ Python client for the unofficial ChatGPT API with auto token regeneration, conversation tracking, proxy support and more.
Stock Price Prediction using Machine Learning Techniques
All Algorithms implemented in Python
Making large AI models cheaper, faster and more accessible
Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then s…
Datascience-Interview-Questions for Korean
Forecasting directional movements of stock prices for intraday trading using LSTM and random forest
📊 Path to a free self-taught education in Data Science!
A collection of design patterns/idioms in Python
A Python implementation of LightFM, a hybrid recommendation algorithm.
Infrastructures™ for Machine Learning Training/Inference in Production.
Label Studio is a multi-type data labeling and annotation tool with standardized output format
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
OpenMMLab Pose Estimation Toolbox and Benchmark.
Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.
Reference data processing code and model for the xView3 prize challenge.
A suggested learning path for blockchain development
Using multidimensional LSTM neural networks to create a forecast for Bitcoin price
🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.