tin “PyPerformace” der @pyperform1
Joined May 2023-
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tin “PyPerformace” der retweeted
pymooCFD - A Multi-Objective Optimization Framework for CFD dlvr.it/SXVFRf
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tin “PyPerformace” der retweeted
tin “PyPerformace” der retweeted
tin “PyPerformace” der retweeted
What would be the funniest caption for this? #TF2 #PyTorch #Jax #Technical #computing
tin “PyPerformace” der retweeted
Numerical Fighter II! #JAX vs #PyTorch vs #TensorFlow @GoogleAI @PyTorch @PyTorchPractice @TensorFlow @TensorFlo @StreetFighter @StreetFighterJA @Nintendo @NintendoAmerica @NintendoEurope opensea.io/assets/0x495f9…
tin “PyPerformace” der retweeted
tin “PyPerformace” der retweeted
This function has saved me many hours of debugging tensor shapes and dtypes in python code. It's a battle-hardened one-liner to print a table of names and properties. gist.github.com/nmwsharp/54d04… Works for #numpy, #pytorch, #jax and probably others. Try it out!
tin “PyPerformace” der retweeted
What's more - another example to compare between a few JIT supported Python libraries, especially on its runtime performance. My two cents is JAX / TensorFlow are ahead of the others. #numpy #numba #jax #tensorflow #pytorch #jit #python linkedin.com/pulse/python-c…
tin “PyPerformace” der retweeted
tin “PyPerformace” der retweeted
Prototyping @cleanrl_lib's DDPG with #jax, #flax, and #optax - I am seeing a 4x performance improvement 🤯🤯🤯🤯🤯 So yeah, JAX is coming to @cleanrl_lib 😃😃
tin “PyPerformace” der retweeted
New wave of #FluidDyn packages just landed this September - #Transonic v0.5.1: gets a tiny bug fix release - #FluidFFT v0.3.3: its build system is now compatible with editable wheels and Python versions up to 3.10 -… pythondevs.social/notice/ANje1cC…
tin “PyPerformace” der retweeted
1. #PyPy, #Numba, #Pythran & #Transonic with some changes in the original code improves performance remarkably. 2. Reduction in time to solution compensates for increased power requirement for multithreading. Article: rdcu.be/ciO0J Code:… pythondevs.social/notice/A6ZhFgG…
tin “PyPerformace” der retweeted
What if we told you #Python + #Numpy + #Transonic + #Pythran) could run blazingly fast, even when compared to native codes in #Cpp and #Fortran? github.com/paugier/nbabel… Note: We made a similar benchmark vs a Fortran code in our #FluidSim paper. Energy consumption vs Time to s…
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