Pinned Repositories
Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
Awesome-MXNet
A curated list of MXNet examples, tutorials and blogs.
awesome-rl
Reinforcement learning resources curated
Berkeley_RL_homework_fall2022
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2022)
classifyDogsCats
ClientServer
CSE5526Lab4ConvNets
CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
pytorch_resnet_implementation
synthetic_benchmark-resnet50-mxnet
vgangal101's Repositories
vgangal101/pytorch_resnet_implementation
vgangal101/Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
vgangal101/awesome-rl
Reinforcement learning resources curated
vgangal101/Berkeley_RL_homework_fall2022
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2022)
vgangal101/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
vgangal101/DeepRLInTheWorld
From search engines, to science, to robotics, this reposity is meant to showcase the use of reinforcement learning in the world..
vgangal101/dist_tuto.pth
PyTorch Distributed Tutorial
vgangal101/DQN_implem_tutorial
vgangal101/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
vgangal101/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
vgangal101/Hands-On-Reinforcement-Learning-with-Python
Hands-On Reinforcement Learning with Python, published by Packt
vgangal101/LLM-papers
LLM survey
vgangal101/LLM-Reasoning-Papers
Collection of papers and resources on Reasoning in Large Language Models (LLMs), including Chain-of-Thought (CoT), Instruction-Tuning, and others.
vgangal101/LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
vgangal101/LLMSurvey
The official GitHub page for the survey paper "A Survey of Large Language Models".
vgangal101/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
vgangal101/MVC-rails-practice
practice code for MVC
vgangal101/nle
The NetHack Learning Environment
vgangal101/option-critic-pytorch
vgangal101/personal_ppo_tutorial
vgangal101/proj4-redo
vgangal101/pytorch_distributed_practice
vgangal101/pytorch_rl_tutorials_practice
vgangal101/ray_rllib_practice
vgangal101/Ref_soln_CS285-DeepReinforcementLearning-Berkeley
My Solution to Berkeley CS285 Deep Reinforcement Learning Fall22
vgangal101/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
vgangal101/resnet_models
vgangal101/spinningup
An educational resource to help anyone learn deep reinforcement learning.
vgangal101/StudentOrgApp
vgangal101/toy_app