leuchine
Machine Learning and Natural Language Processing Researcher
University of Hong Kong, Reka AIHong Kong
leuchine's Stars
deepmodeling/deepmd-kit
A deep learning package for many-body potential energy representation and molecular dynamics
zhiyhu/thesis-template-Oxford
A LaTeX temple for the DPhil thesis at University of Oxford, Medical Sciences Division
hansen7/OcCo
[ICCV '21] "Unsupervised Point Cloud Pre-training via Occlusion Completion"
IDEA-CCNL/Fengshenbang-LM
Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系,成为中文AIGC和认知智能的基础设施。
easonnie/mlp-vil
MLPs for Vision and Langauge Modeling (Coming Soon)
gjoni/trDesign
trRosetta for protein design
yaoxingcheng/TLM
ICML'2022: NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework
ServiceNow/picard
PICARD - Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models. PICARD is a ServiceNow Research project that was started at Element AI.
OATML-Markslab/EVE
Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Joint collaboration between the Marks lab and the OATML group.
idiap/fast-transformers
Pytorch library for fast transformer implementations
sylinrl/TruthfulQA
TruthfulQA: Measuring How Models Imitate Human Falsehoods
adjidieng/ETM
Topic Modeling in Embedding Spaces
vzhong/gazp
Source code for Grounded Adaptation for Zero-shot Executable Semantic Parsing
microsoft/Table-Pretraining
ICLR 2022 Paper, SOTA Table Pre-training Model, TAPEX: Table Pre-training via Learning a Neural SQL Executor
microsoft/rat-sql
A relation-aware semantic parsing model from English to SQL
awslabs/gap-text2sql
GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training
microsoft/SCoRE
ICLR 2021: Pre-Training for Context Representation in Conversational Semantic Parsing
google-research/FLAN
BigBird01/LASER
A toolkit for large scale distributed training
andy194673/joust
google-deepmind/alphafold
Open source code for AlphaFold.
phlippe/CategoricalNF
Official repository for "Categorical Normalizing Flows via Continuous Transformations"
jornpeters/integer_discrete_flows
Code release for Hoogeboom, Emiel, Jorn WT Peters, Rianne van den Berg, and Max Welling. "Integer Discrete Flows and Lossless Compression." Conference on Neural Information Processing Systems (2019).
bits-back/bits-back
princeton-nlp/SimCSE
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
JeanKaddour/SIN
Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
alshedivat/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
google/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
google-research/google-research
Google Research
artemyk/ibsgd