adilsheraz
PhD CS student at FAST National University Pakistan. Deep Learning and NLP Researcher
Pakistan
adilsheraz's Stars
rasbt/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
deepchecks/deepchecks
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
weaviate/Verba
Retrieval Augmented Generation (RAG) chatbot powered by Weaviate
redis-developer/ArXivChatGuru
Use ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache.
Paulescu/hands-on-rl
Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽
XuHwang/InteRecAgent
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations
FSoft-AI4Code/CodeCapybara
Open-source Self-Instruction Tuning Code LLM
Renumics/awesome-open-data-centric-ai
Curated list of open source tooling for data-centric AI on unstructured data.
dair-ai/ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
stanford-crfm/helm
Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110). This framework is also used to evaluate text-to-image models in Holistic Evaluation of Text-to-Image Models (HEIM) (https://arxiv.org/abs/2311.04287).
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
interstellard/chatgpt-advanced
WebChatGPT: A browser extension that augments your ChatGPT prompts with web results.
huggingface/diffusion-models-class
Materials for the Hugging Face Diffusion Models Course
Machine-Learning-Tokyo/AI_Curriculum
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
khanhnamle1994/natural-language-processing
Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning
ljvmiranda921/prodigy-pdf-custom-recipe
Custom recipe and utilities for document processing
malgamves/CommunityWriterPrograms
A list of Developer Community Writer Programs
dair-ai/MLOPs-Primer
A collection of resources to learn about MLOPs.
TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
microsoft/Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
vdumoulin/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
liuyuemaicha/Adversarial-Learning-for-Neural-Dialogue-Generation-in-Tensorflow
Adversarial-Learning-for-Neural-Dialogue-Generation-in-Tensorflow
Nyandwi/machine_learning_complete
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
adilsheraz/ML-YouTube-Courses
📺 A place to discover the latest machine learning courses on YouTube.
parrt/msds621
Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
5x12/themlsbook
This repository is a supplement to the 'Machine Learning Simplified: A Gentle Introduction to Supervised Learning' book.
nathanhubens/fasterai
FasterAI: Prune and Distill your models with FastAI and PyTorch
dair-ai/ML-Course-Notes
🎓 Sharing machine learning course / lecture notes.