Pinned Repositories
acm-icpc-trd
Team Reference Document for ACM ICPC
brainrot-gpt-web
Convert PDFs into short form video summaries
deep-q-learning
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
fantastic-funicular
final-benchmarks
option-critic-pytorch
PyTorch implementation of the Option-Critic framework, Harb et al. 2016
RECIPE
RECIPE : high-performance, concurrent indexes for persistent memory (SOSP 2019)
tuplex
Tuplex is a parallel big data processing framework that runs data science pipelines written in Python at the speed of compiled code. Tuplex has similar Python APIs to Apache Spark or Dask, but rather than invoking the Python interpreter, Tuplex generates optimized LLVM bytecode for the given pipeline and input data set.
tuplex
Tuplex is a parallel big data processing framework that runs data science pipelines written in Python at the speed of compiled code. Tuplex has similar Python APIs to Apache Spark or Dask, but rather than invoking the Python interpreter, Tuplex generates optimized LLVM bytecode for the given pipeline and input data set.
hierarchical-policy-learning
yash-browncs's Repositories
yash-browncs/fantastic-funicular
yash-browncs/brainrot-gpt-web
Convert PDFs into short form video summaries
yash-browncs/option-critic-pytorch
PyTorch implementation of the Option-Critic framework, Harb et al. 2016
yash-browncs/tuplex
Tuplex is a parallel big data processing framework that runs data science pipelines written in Python at the speed of compiled code. Tuplex has similar Python APIs to Apache Spark or Dask, but rather than invoking the Python interpreter, Tuplex generates optimized LLVM bytecode for the given pipeline and input data set.
yash-browncs/final-benchmarks
yash-browncs/RECIPE
RECIPE : high-performance, concurrent indexes for persistent memory (SOSP 2019)
yash-browncs/deep-q-learning
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
yash-browncs/acm-icpc-trd
Team Reference Document for ACM ICPC