mahmozaffari
Ph.D. Student at Rochester Institute of Technology Machine Learning and Data Intensive Computing (MINING Lab)
Rochester, NY
mahmozaffari's Stars
hpcaitech/ColossalAI
Making large AI models cheaper, faster and more accessible
microsoft/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Vision-CAIR/MiniGPT-4
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
Hannibal046/Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
serengil/deepface
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
mlfoundations/open_clip
An open source implementation of CLIP.
dottxt-ai/outlines
Structured Text Generation
IDSIA/sacred
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
turboderp/exllama
A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.
microsoft/aici
AICI: Prompts as (Wasm) Programs
Computer-Vision-in-the-Wild/CVinW_Readings
A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''
Hangz-nju-cuhk/Talking-Face_PC-AVS
Code for Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation (CVPR 2021)
horseee/LLM-Pruner
[NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baichuan, TinyLlama, etc.
richard-peng-xia/awesome-multimodal-in-medical-imaging
A collection of resources on applications of multi-modal learning in medical imaging.
RenYurui/PIRender
The source code of the ICCV2021 paper "PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering"
aamini/evidential-deep-learning
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
jiasenlu/HieCoAttenVQA
peggy1502/Amazing-Resources
List of references and online resources related to data science, machine learning and deep learning.
WisconsinAIVision/ViP-LLaVA
[CVPR2024] ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts
LinWeizheDragon/Retrieval-Augmented-Visual-Question-Answering
This is the official repository for Retrieval Augmented Visual Question Answering
doc-doc/NExT-QA
NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions (CVPR'21)
HowieMa/CVTHead
[WACV 2024] "CVTHead: One-shot Controllable Head Avatar with Vertex-feature Transformer"
GLAMOR-USC/CLiMB
The Continual Learning in Multimodality Benchmark
gauravchak/two_tower_models
We write sample code for two tower models for retrieval and add RLHF/RLAIF style alignment with a ranking model to make the retrieval more aligned with the ranking model on top
bbonik/facial-landmark-frontalization
Function to frontalize non-frontal 2D facial landmarks generated from the DLIB library
xiaoyuxin1002/UQ-PLM
Uncertainty Quantification with Pre-trained Language Models: An Empirical Analysis
phiyodr/vqaloader
PyTorch DataLoader for many VQA datasets
ritmininglab/Multifaceted-Uncertainty-Estimation-for-Label-Efficient-Deep-Learning
zjjlivein/Build-LLM-from-scratch
从数据构造,预训练,微调一步步构建大模型