Mrinal Mathur's repositories
denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
mrinal18.github.io
Personal website
wedding-website
Our Wedding Website đź‘«
KG-LLM
experimenting on LLMs
TAP-3DMoGen
3d motion generation conditioned on both text and audio prompts
ubisoft-laforge-ZeroEGGS
All about ZeroEggs
nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
openai-cookbook
Examples and guides for using the OpenAI API
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
machine-learning-specialization-andrew-ng
A collection of notes and implementations of machine learning algorithms from Andrew Ng's machine learning specialization.
ImageBind
ImageBind One Embedding Space to Bind Them All
2nd_place_GISLR
2nd Place Google - Isolated Sign Language Recognition
DREAMPlace
Deep learning toolkit-enabled VLSI placement
AgentGPT
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
Grounded-Segment-Anything
Marrying Grounding DINO with Segment Anything & Stable Diffusion & BLIP & Whisper - Automatically Detect , Segment and Generate Anything with Image, Text, and Speech Inputs
Deep-Reinforcement-Learning-Tutorial
This repository is to add all the content for RL that I am currently learning and experimenting with
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
the-algorithm
Source code for Twitter's Recommendation Algorithm
the-algorithm-ml
Source code for Twitter's Recommendation Algorithm
OCT_Super_Resolution
Digital Image Processing Project
gnn
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
NFL_Kaggle
The National Football League (NFL) and Amazon Web Services (AWS)teamed up to develop the best sports injury surveillance and mitigation programvia the Kaggle competition. Through which the NFL wants to assign specificplayers to each helmet, which would help accurately identify each player’s “ex-posures” throughout a football play. We are trying to implement a computer vi-sion based ML algorithms capable of assigning detected helmet impacts to correctplayers via tracking information. Our paper will explain the approach to automati-cally track player helmets and their collisions. This will also allow them to reviewprevious plays and explore the trends in exposure over time.
wav2seq
Official code for Wav2Seq