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advanced_ml

algorithmsanddatastructure

Algorithms And DataStructure Implemented In Python, Java & CPP, Give a Star 🌟If it helps you

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

computer-vision

haystack

:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

hierarchical-hyperplane-kernels

Official implementation of "Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems" (AISTATS 2023)

ml-personal-playground

pal

This code is a re-implementation of Policy based Active Learning with DQN but using LSTM Tagger and PyTorch 2.0 instead of CRF Tagger and TF 1.0

picast

PiCAST turns your $35 Raspberry Pi in to a Chromecast like Device.

pseudorange-estimation-hybridlstm

Pseudorange Error Estimation using GNSS measurement-level data with Hybrid LSTM (Pytorch 1.12)

reinforcement-learning

stable-baselines3-gpu

A GPU-accelerated fork of stable-baselines. Delivering reliable implementations of reinforcement learning algorithms.

thesis_al_rl

Active learning of Image Classifier using Reinforcement Learning