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Quickly format your notes with ChatGPT in Obsidian

A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.

QKeras: a quantization deep learning library for Tensorflow Keras

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

Data Preparation for Satellite Machine Learning

Open-source pre-training implementation of Google's LaMDA in PyTorch. Adding RLHF similar to ChatGPT.

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

🦖 X—LLM: Cutting Edge & Easy LLM Finetuning

Effortless plugin and play Optimizer to cut model training costs by 50%. New optimizer that is 2x faster than Adam on LLMs.

A curated list of all machine learning algorithms and deep learning algorithms grouped by category.

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

AutoVideo: An Automated Video Action Recognition System

AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

A deep learning framework built on an autograd engine with high level abstractions and low level control.

Tutorials about Quantitative Finance in Python and QuantLib: Pricing, xVAs, Hedging, Portfolio Optimisation, Machine Learning and Deep Learning

Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.

PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.

tutorials made for biologists to learn deep learning

Classification and Gradient-based Localization of Chest Radiographs using PyTorch.

[IEEE OJSP'2021] "RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content", Zhengzhong Tu, Xiangxu Yu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik

A small deep-learning library to distinguish human and bot from their mouse movements.

Quant trading framework by OctoBot. Write, backtest & automate Python trading strategies like TradingView Pine Script. Work in progress.

AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM + Attention trained on GPU. Bybit, Binance, OKX, Gate.io. Free cloud or self-hosted.

An image classifier to classify things as huggable or not.

Modular Framework for ML Inference on Geospatial Data

TensorLight - A high-level framework for TensorFlow

Prototype of an intelligent safety system for detecting driver drowsiness