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Name: Kanishk Jain
Type: User
Company: Mila - Quebec AI Institute / Université de Montréal
Bio: PhD Candidate at Mila
Location: Montreal
Name: Kanishk Jain
Type: User
Company: Mila - Quebec AI Institute / Université de Montréal
Bio: PhD Candidate at Mila
Location: Montreal
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
Specialization Course in Deep Learning By National Research University Higher School of Economics
Finetuning LLaMA with RLHF (Reinforcement Learning with Human Feedback) based on DeepSpeed Chat
awesome grounding: A curated list of research papers in visual grounding
A curated list of image captioning and related area resources. :-)
A Pytorch Implementation of the Beta-VAE
An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.
Pytorch implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
Diffusion attentive attribution maps for interpreting Stable Diffusion.
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
Official repo for Discriminator Guidance.
Disentanglement library for PyTorch
Experiments for understanding disentanglement in VAE latent representations
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
Dynamic Multimodal Instance Segmentation Guided by Natural Language Queries, ECCV 2018
Face recognition using Tensorflow
GAN implementation in Tensorflow
Generative Models by Stability AI
Code for the Paper Learning Hierarchy Aware Features for Reducing Mistake Severity, accepted in ECCV 2022
Official implementation of Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification
Source code for the ICML'18 paper "Hyperbolic Entailment Cones for Learning Hierarchical Embeddings", https://arxiv.org/abs/1804.01882
PyTorch code and models for V-JEPA self-supervised learning from video.
PyTorch Implementation of Knowing When to Look: Adaptive Attention via a Visual Sentinal for Image Captioning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.