d1hr2uv
Email : smcsdp3006@iacs.res.in May be slow to respond
Indian Association for the Cultivation of ScienceKolkata
Pinned Repositories
Agent-007
ai4chem_course
EPFL CH-457 "AI for chemistry"
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, ... 🧠
ARENA_3.0
attention-output-saes
Code to reproduce key results for "Interpreting Attention Layer Outputs with Sparse Autoencoders"
AutoencoderandVAE
Awesome-LLM4IE-Papers
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
Awesome-Sign-Language
Paper list of sign language, including sign language recognition(SLR), sign language translation(SLT) and other interesting work. Quick start your awesome work with us!! 🤟🤟🤟
Awesome-SLP
A curated list of awesome work on Sign Language Production
KANO
Code and data for the Nature Machine Intelligence paper "Knowledge graph-enhanced molecular contrastive learning with functional prompt".
d1hr2uv's Repositories
d1hr2uv/ARENA_3.0
d1hr2uv/attention-output-saes
Code to reproduce key results for "Interpreting Attention Layer Outputs with Sparse Autoencoders"
d1hr2uv/AutoencoderandVAE
d1hr2uv/Awesome-Sign-Language
Paper list of sign language, including sign language recognition(SLR), sign language translation(SLT) and other interesting work. Quick start your awesome work with us!! 🤟🤟🤟
d1hr2uv/cm4mlops
A collection of reusable and cross-platform automation recipes (CM scripts) with a human-friendly interface and minimal dependencies to make it easier to build, run, benchmark and optimize AI, ML and other applications and systems across diverse and continuously changing models, data sets, software and hardware (cloud/edge)
d1hr2uv/d1hr2uv
README.md
d1hr2uv/concordia
A library for generative social simulation
d1hr2uv/crewAI
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
d1hr2uv/d1hr2uv.github.io
d1hr2uv/dice
Re-implementation of Redis in Golang
d1hr2uv/Differential-Transformer-PyTorch
PyTorch implementation of the Differential-Transformer architecture for sequence modeling, specifically tailored as a decoder-only model similar to large language models (LLMs). The architecture incorporates a novel Differential Attention mechanism, Multi-Head structure, RMSNorm, and SwiGLU.
d1hr2uv/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
d1hr2uv/dust3r
DUSt3R: Geometric 3D Vision Made Easy
d1hr2uv/easy-problems-that-llms-get-wrong
d1hr2uv/equinox
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
d1hr2uv/Harkirat-Singh-course_code_and_notes
d1hr2uv/improving-RAG-systems-dhs2024
This repository will contain the presentation and python jupyter notebooks for the DataHack Summit 2024 conference talk, Improving Real-world Retrieval Augmented Generation Systems, focusing on the key challenges and practical solutions of how to solve them
d1hr2uv/inspect_ai
Inspect: A framework for large language model evaluations
d1hr2uv/LLM-Drop
The official implementation of the paper "What Matters in Transformers? Not All Attention is Needed".
d1hr2uv/mlops
d1hr2uv/mlops-2024
d1hr2uv/mlx-examples
Examples in the MLX framework
d1hr2uv/NewRepo
d1hr2uv/pose-to-video
Render pose sequences as photorealistic videos.
d1hr2uv/Sign_Stitching_Demos
Demo videos for "Sign Stitching: A Novel Approach to Sign Language Production"
d1hr2uv/smol-course
A course on aligning smol models.
d1hr2uv/Towards-Graph-Foundation-Models-New-perspective-
Accompanied repositories for our paper Graph foundation model
d1hr2uv/typst
A new markup-based typesetting system that is powerful and easy to learn.
d1hr2uv/VAE-Pytorch-ASL
This repository implements a simpleVAE for training on CPU on the MNIST dataset and provides ability to visualize the latent space, entire manifold as well as visualize how numbers interpolate between each other.
d1hr2uv/zml
High performance AI inference stack. Built for production. @ziglang / @openxla / MLIR / @bazelbuild