Lists (7)
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Finetuning
Repositories in this list is somehow helpful for LLM Finetuning task.GNN RAG project list
This list contains all the necessary repositories for GNN RAG projectImage Caption Generator Project
Moment_DETR&QVHilightDataset
Video Agent Project
Video Moment Retrieval/Indexing
This list contains repo for Video Indexing /Moment retrieval /Quey Dependant Moment Retreival projects,which a bit different than Video summarization.Video Summarizer Project
Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A posix script to find and watch youtube videos from the terminal. (Without API)
๐ Awesome lists about Speech Emotion Recognition
Bengali language Tokenizer (SentencePiece)
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Code and documentation to train Stanford's Alpaca models, and generate the data.
Building a GPT-like LLM from scratch with PyTorch.
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Code for paper "VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos"
Tests the Black-Scholes model's performance on forecasting option call prices of a selected option chain dataset. Discusses factors such as volatility and time to expiration that affect the estimatโฆ
Option Pricing Model with Black-Scholes, Monte Carlo and Binomial Tree Methods
Implementing DQN for different games from OpenAI gym environment
Deep Q-learning for playing flappy bird game
OpenAI Gym environment solutions using Deep Reinforcement Learning.
Open AI Gym - Pendulum-v1 reinforcement learning (DQN, SAC)
This repo implements Deep Q-Network (DQN) for solving the Cliff Walking v0 environment of the Gymnasium library using Python 3.8 and PyTorch 2.0.1 with the finest tuning.
Fine tuning BERT for text summarization task
Code for paper Fine-tune BERT for Extractive Summarization
Artificial Intelligence project designed by UC Berkeley. Designed game agents for the game Pacman using basic, adversarial and stochastic search algorithms, and reinforcement learning concepts
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Deep Q Networks