JulianAssmann
Master Computer Science @SAP and University of Applied Sciences Karlsruhe
@SAPHeidelberg, Germany
JulianAssmann's Stars
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
karpathy/llm.c
LLM training in simple, raw C/CUDA
koekeishiya/yabai
A tiling window manager for macOS based on binary space partitioning
openai/gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
guidance-ai/guidance
A guidance language for controlling large language models.
HigherOrderCO/Bend
A massively parallel, high-level programming language
ml-explore/mlx
MLX: An array framework for Apple silicon
auchenberg/volkswagen
:see_no_evil: Volkswagen detects when your tests are being run in a CI server, and makes them pass.
naklecha/llama3-from-scratch
llama3 implementation one matrix multiplication at a time
NVIDIA/NeMo
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
huggingface/text-generation-inference
Large Language Model Text Generation Inference
jessevig/bertviz
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
google/gemma.cpp
lightweight, standalone C++ inference engine for Google's Gemma models.
Qiskit/qiskit
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
lancedb/lancedb
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
kermitt2/grobid
A machine learning software for extracting information from scholarly documents
cybertronai/gradient-checkpointing
Make huge neural nets fit in memory
castorini/pyserini
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
beir-cellar/beir
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
apple/ml-aim
This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects.
BatsResearch/bonito
A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.
facebookresearch/contriever
Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning
facebookresearch/FiD
Fusion-in-Decoder
kvark/blade
Sharp and simple graphics library
castorini/pygaggle
a gaggle of deep neural architectures for text ranking and question answering, designed for Pyserini
CisMine/Parallel-Computing-Cuda-C
CUDA Learning guide
DeveloperPaul123/modern-cv
A modern resume template written in Typst, inspired by Awesome-CV
LaPreprint/typst
Easily create beautiful preprints in Typst